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White matter microstructure is associated with the precision of visual working memory

View ORCID ProfileXuqian Li, View ORCID ProfileDragan Rangelov, View ORCID ProfileJason B. Mattingley, View ORCID ProfileLena Oestreich, View ORCID ProfileDelphine Lévy-Bencheton, View ORCID ProfileMichael J. O’Sullivan
doi: https://doi.org/10.1101/2023.01.23.525278
Xuqian Li
1UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
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  • For correspondence: xuqian.li@uq.edu.au
Dragan Rangelov
2Queensland Brain Institute, The University of Queensland, Brisbane, Australia
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Jason B. Mattingley
2Queensland Brain Institute, The University of Queensland, Brisbane, Australia
3School of Psychology, The University of Queensland, Brisbane, Australia
4Canadian Institute for Advanced Research, Toronto, Canada
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Lena Oestreich
1UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
6Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
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Delphine Lévy-Bencheton
1UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
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Michael J. O’Sullivan
1UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
5Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
7Department of Neurology, Royal Brisbane and Women’s Hospital, Brisbane, Australia
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Abstract

Visual working memory is critical for goal-directed behaviour as it maintains continuity between previous and current visual input. Functional neuroimaging studies have shown that visual working memory relies on communication between distributed brain regions, which implies an important role for long-range white matter connections in visual working memory performance. Here, we characterised the relationship between the microstructure of white matter association tracts and the precision of visual working memory representations. To that purpose, we devised a delayed estimation task which required participants to reproduce visual features along a continuous scale. A sample of 80 healthy adults performed the task and underwent diffusion-weighted MRI. We applied mixture distribution modelling to quantify the precision of working memory representations and guess rates, both of which contribute to observed responses. Latent components of tract-specific microstructural indices were identified by principal component analysis. Higher working memory precision was associated with lower bulk diffusion across ten tracts of interest and higher directionality of diffusion in a group of frontoparietal-occipital tracts. Importantly, there was no association between guess rates and any of the structural components. Our findings suggest that microstructural properties of white matter tracts connecting posterior and frontal brain regions mediate, in a functionally specific manner, the precision of visual working memory.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://osf.io/4wkuf/?view_only=9ccba5df6110466590077ea615614f4f

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted January 24, 2023.
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White matter microstructure is associated with the precision of visual working memory
Xuqian Li, Dragan Rangelov, Jason B. Mattingley, Lena Oestreich, Delphine Lévy-Bencheton, Michael J. O’Sullivan
bioRxiv 2023.01.23.525278; doi: https://doi.org/10.1101/2023.01.23.525278
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White matter microstructure is associated with the precision of visual working memory
Xuqian Li, Dragan Rangelov, Jason B. Mattingley, Lena Oestreich, Delphine Lévy-Bencheton, Michael J. O’Sullivan
bioRxiv 2023.01.23.525278; doi: https://doi.org/10.1101/2023.01.23.525278

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